Editorial Infrastructure for Content Agencies

Client-ready copy.
Premium edits.
10 minutes.

The automated editorial QA pipeline built on 15 years of senior editorial judgment. Nothing like it exists on the market.

5+ articles fully processed in ~10 minutes
Editorial Pedigree
The Problem It Solves

Every agency running AI-first content knows this problem.

Editors churn $25–80/hour on 30-minute tasks, but their QA standard falls apart the moment volume picks up.

Posting “99 AI fingerprints to watch out for” misses the forest for the trees. You can prompt away em-dashes and binary syntax like “not only X, but also Y.” There are deeper problems no one is contending with: anchor text dropped into sentences built around it, transitions forced into campy voice or absent entirely, every sentence asserting itself from a void like it could be anywhere in any article.

You cannot fix this with a Claude prompt.

When your clients ask if it's AI:
You say it's premium editorial QA.

The bottleneck: a queue that forms when 40 articles need a QA pass and two editors have capacity for twelve. EditStack has no queue. Submit 5 articles at 9am. Receive 5 client-ready drafts by 9:10.

EditStack is the editorial QA pipeline that enterprise analogs will not match on price or precision for years.

What It Does

EditStack is a multi-node editorial pipeline. Sequential automated passes run across every article you submit. No prompting required after setup.

01
Introduction
Opening paragraph rebuilt to journalistic standard. Specific, active, with a defined angle. No throat-clearing. No generic scene-setting.
02
Voice Calibration
Active voice enforced across the full draft. Paragraph rhythm corrected. Sentence weight varied for emphasis and forward motion.
03
Verified Sourcing
Every empirical claim automatically verified against peer-reviewed databases and formatted to APA standard. No unsourced assertions reach the client.
04
SEO Integration
Internal links and anchor text organically woven into semantically appropriate copy. Primary and secondary keywords placed with precision.
05
SEO, GEO and AEO
Long-tail query targets, high-volume conversational search patterns, and answer engine optimization signals integrated throughout the draft without disrupting flow.
06
AI Fingerprint Removal
Passive constructions, hedge language, false contrasts, and filler transitions stripped out. Updated continuously as LLMs develop new verbal patterns.
07
Structural Editing
Section order corrected against canonical patterns. Headers rewritten for keyword density. Redundancy stripped.
08
Fact-Check Pass
Fast-moving field claims smoothed to directional statements. Verifiable facts checked against scientific consensus. Nothing confidently wrong ships.
09
Formatted Output
Output lands in your Google Doc, formatted and ready to send. Heading hierarchy, citations, and metadata intact.
How It Works
01
Submit
Send your draft through the EditStack form with your SEO and GEO deliverables. URL, target keyword, internal links, secondary keywords.
02
Pipeline Runs
Over 30 editorial nodes execute in sequence. Voice, structure, sourcing, linking, fingerprint removal, final assembly.
03
Receive Output
Client-ready copy lands in your Google Doc. Formatted, cited, linked, and ready to hand to the client.
04
Submit Again
Your SEO and GEO deliverables and brand voice brief configure each run. No ongoing manual prompting between submissions.
Who Built This

Built by a senior editor.

EditStack was built by Brad Bergan, a senior editor with 15+ years across science, finance, culture, and technology. Bylines and editorial roles at Bloomberg, VICE, NBC News, Discover, and The World Economic Forum. Two published books through Quarto Group, including a #1 Amazon bestseller.

Most editorial AI tools are LLM wrappers built by engineers who have never edited at scale. EditStack was built by someone who has. That judgment is now encoded into infrastructure that runs automatically.

› Most editorial AI tools are LLM wrappers built by engineers who have never edited at scale.

EditStack encodes the judgment that takes a decade to develop into infrastructure that runs in 10 minutes on every article you submit.

Pilot Pricing
Early Access Pilot
$0
First month. No charge.
  • 50 articles processed at no cost
  • Full pipeline: voice, sourcing, linking, structure
  • One setup session to calibrate to your clients
  • Direct line to the builder for feedback
  • Early clients shape the product roadmap

$500 post-pilot setup fee. Covers voice calibration, formatting standards, and SEO configuration for your client roster.

Subscription
$1,500
per month. Locked for three months.
  • Up to 200 articles per month
  • 5+ articles processed per batch in ~10 minutes
  • Ongoing voice and SEO calibration
  • Google Docs formatted output
  • No surprises. No per-article fees within quota.

Pricing locks for the first three months. Early clients set the baseline before rates adjust for new subscribers.

Editorial QA runs itself.
You run the agency.

EditStack is in limited early access. A small number of pilots are open now. If your agency is running AI-assisted content at volume and the editorial bottleneck is real, apply below.